PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT DISTINCT ?place ?placeLabelEn ?placeLabelIt ?type ?typeLabel WHERE {
  ?place wdt:P131 + wd:Q1443 .
  ?place wdt:P31 ?type .
  FILTER ( EXISTS {
    ?type wdt:P279 * wd:Q24398318
  }
  || EXISTS {
    ?type wdt:P279 * wd:Q16970
  }
  ) OPTIONAL {
    ?place rdfs:label ?placeLabelEn FILTER ( LANG( ?placeLabelEn ) = "en" )
  }
  OPTIONAL {
    ?place rdfs:label ?placeLabelIt FILTER ( LANG( ?placeLabelIt ) = "it" )
  }
  OPTIONAL {
    ?type rdfs:label ?typeLabel FILTER ( LANG( ?typeLabel ) = "en" )
  }
}
ORDER BY ?placeLabelIt
LIMIT 2000

Got 636 rows and 5 columns, showing the first 5 and last 5 rows below:
| place                                               | placeLabelEn                              | placeLabelIt                                     | type                              | typeLabel               |
| --------------------------------------------------- | ----------------------------------------- | ------------------------------------------------ | --------------------------------- | ----------------------- |
| Santa Chiara, Isernia (wd:Q126960067)               | Santa Chiara, Isernia (en)                |                                                  | religious building (wd:Q24398318) | religious building (en) |
| Abbey of Santa Maria di Faifoli (wd:Q18415979)      | Abbey of Santa Maria di Faifoli (en)      | abbazia di Santa Maria di Faifoli (it)           | abbey (wd:Q160742)                | abbey (en)              |
| San Vincenzo al Volturno abbey (wd:Q2425141)        | San Vincenzo al Volturno abbey (en)       | abbazia di San Vincenzo al Volturno (it)         | benedictine abbey (wd:Q817056)    | benedictine abbey (en)  |
| Basilica of Saepinum-Altilia (wd:Q123197001)        | Basilica of Saepinum-Altilia (en)         | Basilica di Saepinum-Altilia (it)                | civil basilica (wd:Q2887138)      | civil basilica (en)     |
| Basilica of San Nicandro, Venafro (wd:Q18210767)    | Basilica of San Nicandro, Venafro (en)    | basilica di San Nicandro (it)                    | church building (wd:Q16970)       | church building (en)    |
| ...                                                 | ...                                       | ...                                              | ...                               | ...                     |
| Samnite Sanctuary at Pietrabbondante (wd:Q21552374) | Samnite Sanctuary at Pietrabbondante (en) | Santuario Italico (it)                           | shrine (wd:Q697295)               | shrine (en)             |
| wd:Q118353024                                       |                                           | S. Michele Arcangelo (it)                        | church building (wd:Q16970)       | church building (en)    |
| wd:Q130300660                                       |                                           | tempio maggiore di Pietrabbondante (it)          | temple (wd:Q44539)                | temple (en)             |
| wd:Q130300665                                       |                                           | tempio minore di Pietrabbondante (it)            | temple (wd:Q44539)                | temple (en)             |
| San Vincenzo al Volturno Old Abbey (wd:Q65029706)   | San Vincenzo al Volturno Old Abbey (en)   | Vecchia abbazia di San Vincenzo al Volturno (it) | abbey (wd:Q160742)                | abbey (en)              |

I ran a query that returns items that are instances of classes that are subclasses of 'religious building' (wd:Q24398318) or 'church building' (wd:Q16970) and that are located in the Molise region (wd:Q1443) via the P131+ path. The query returns 636 results (religious buildings in Molise). The provided SPARQL query returns the Wikidata item IRIs (?place), English and Italian labels when available, and the type of each place.

What are the religious buildings located in the region of Molise, Italy?

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You are provided with some general notes:
No notes available

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Search for the entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
3. Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
4. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
5. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
6. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
7. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
8. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] What are the religious buildings located in the region of Molise, Italy?

[Assistant] Step 1: I'll search for the entity representing the Molise region and for a property or item representing "religious building" (or similar classes like church, cathedral, shrine, monastery). I'll start by searching for "Molise" and "religious building" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Molise, also known as Molise region (wd:Q1443): instance of region of Italy, region in Italy
2. Molise, also known as Molise (wd:Q277702): instance of commune of Italy, Italian comune
3. Eduardo De Filippo, also known as Eduardo Passarelli, Molise, Edoardo De Filippo (wd:Q332632): Italian actor, director and playwright (1900–1984), instance of human, film director, screenwriter, stage actor, politician, playwright, director, writer, actor, poet
4. Molise (wd:Q3677921): instance of constituency of the Italian Chamber of Deputies, Chamber of Deputies constituency
5. Molise (wd:Q20009741)
6. Molise (wd:Q30027620): chief town of the homonym municipality, instance of municipality seat
7. Molise (wd:Q3860244): instance of olive oil, olive oil from Italy
8. Contado di Molise, also known as Molise (wd:Q43464551): instance of province of the Kingdom of the Two Sicilies, province of the Kingdom of the Two Sicilies
9. Slavomolisano, also known as Slavomolisano dialect, Molise Slavic, Molise Croatian (wd:Q36254)
10. Molise Croats (wd:Q960850): instance of ethnic group, ethnic group

[Assistant] I'll search for an entity representing the concept "religious building" or similar classes like "church", "cathedral", "monastery", "religious building". I'll search for "religious building" first.

[Tool]
Top 10 entity alternatives:
1. religious building, also known as sacral building (wd:Q24398318)
2. religious building (wd:L43674-S1)
3. religious building (wd:L42163-S1)
4. religious building (wd:L1119456-S1)
5. religious building fixture (wd:Q111547807)
6. former religious building (wd:Q96352496)
7. other religious building (wd:Q113965219)
8. religious tower building (wd:Q117814118)
9. religious building ruin, also known as ruins of religious building, former religious building, religious building ruins (wd:Q96352513)
10. religious buildings, also known as V110. (wd:Q126877023): narrative motif documented in Thompson's Motif-Index of Folk-Literature, instance of narrative motif, instance of folklore motif

[Assistant] Next I'll search for specific types of religious buildings in Wikidata such as "church", "cathedral", "monastery", "basilica", "shrine" to include them as instances or subclasses of "religious building". I'll search for "church" first.

[Tool]
Top 10 entity alternatives:
1. church building, also known as kirk, meetinghouse, church meetinghouse, church, christian temple (wd:Q16970)
2. parish church, also known as Parish church, parochial church, parochial church, church (wd:Q317557)
3. church congregation, also known as particular church, local church, church, Christian congregation (wd:Q2638480)
4. collegiate church, also known as church (wd:Q1509716)
5. 10343 Church, also known as (10343) Church, Church (wd:Q1088628): instance of asteroid, asteroid
6. The Church, also known as Church (wd:Q1757705): instance of musical group, Australian rock band
7. The Church, also known as Demon Cathedral, La chiesa, Church, Cathedral of Demons (wd:Q378754): 1989 film by Michele Soavi, instance of film
8. Church, also known as Church (Lancashire), Church, Lancashire (wd:Q2427568): village in Lancashire, United Kingdom, instance of unparished area, instance of village
9. Frederick Stuart Church, also known as F. S. Church, f.s. church, Frederick S. Church, Frederic S. Church, Church (wd:Q3087166): American artist (1842-1924), instance of human, graphic designer, painter
10. Church and Wellesley, also known as The Village, Church, The Gay Village, Church and Wellesley Village (wd:Q1089761): neighbourhood in Toronto, instance of neighborhood, instance of gay village

[Assistant]
We have suitable classes: "religious building" (wd:Q24398318) and "church building" (wd:Q16970). The user asked for "religious buildings located in the region of Molise, Italy" — so we need to find items that are instance of (P31) some class that is a religious building, and located in (P131?) or located in administrative region (P131) or "located in the administrative territorial entity" or "located in" (P276) or "located in the administrative territorial entity" P131. Better approach: find items whose "located in the administrative territorial entity" (P131) is Molise (wd:Q1443) or located in region (P300?) Actually to get items in the region, use P131 linking to municipalities or provinces within Molise, or use "located in the administrative territorial entity" P131 with value wd:Q1443 — many items will have P131 set to province or commune, but not directly to region; however some items may have P131 pointing to Molise. Alternative: use "located in the administrative territorial entity" (P131) with values that are in Molise: i.e., require that the item is located in an administrative entity that has "located in the administrative territorial entity" chain up to Molise. There's a property "located in the administrative territorial entity" P131, and the region Molise wd:Q1443 is "instance of region of Italy". So use property path: ?place wdt:P131+ wd:Q1443 . That will traverse up the P131 chain.

Next require that ?place is an instance of religious building classes: instance of (P31) some class that is subclass of religious building? Many specific churches have P31 = church building (wd:Q16970) or cathedral (wd:Q55488), basilica (wd:Q49373), monastery (wd:Q16970? no), or "basilica" is a subclass. Better to accept items where ?place wdt:P31/wdt:P279* wd:Q24398318 or ?place wdt:P31/wdt:P279* wd:Q16970? Wait P31 values like "Roman Catholic church" (wd:Q922564?) Let's inspect. We need to find classes that are subclasses of religious building. Use a property path: ?place wdt:P31/wdt:P279* ?type . ?type wdt:P279* wd:Q24398318 . But that's heavy. Simpler: require that ?place is an instance of something that is subclass of 'religious building' or 'church building'. A good approach: allow both: either ?place wdt:P31/wdt:P279* wd:Q24398318 OR ?place wdt:P31/wdt:P279* wd:Q16970. Use UNION.

Now find query: SELECT ?place ?placeLabel WHERE { ?place wdt:P131+ wd:Q1443 . ?place wdt:P31 ?type . ?type wdt:P279* wd:Q24398318 . OPTIONAL { ?place rdfs:label ?placeLabel FILTER(LANG(?placeLabel) = "en") } } But rule 8 says do not use wikibase:label service. Using rdfs:label is okay. Also need to follow step-by-step requirement: explain steps before and after each call and execute intermediate queries. The developer instructions require explaining thought process before and after each step and function call. So I must narrate the steps and call functions to search, list, and execute.

We already called search_entity for Molise and church/religious building. Next we should identify property P131 (located in the administrative territorial entity) exists. But we should verify property for "located in administrative territorial entity" P131. Use search_property.
I'll search for the property "located in the administrative territorial entity" to confirm the property ID (likely P131) and then test a small query to find religious buildings in Molise using P131 with a P31 type that is a subclass of "religious building". I'll first search for the property.

[Tool]
Top 10 property alternatives:
1. located in the administrative territorial entity, also known as is in the shire of, is in the voivodeship of, is in the state of, is in the territory of, is in the town of (wd:P131 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., subproperty of location, subproperty of part of
2. contains the administrative territorial entity, also known as has states, has shires, has rural cities, has regions, has municipalities (wd:P150 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): (list of) direct subdivisions of an administrative territorial entity, subproperty of has part(s)
3. located in the present-day administrative territorial entity, also known as present-day administrative territorial entity, located in the current administrative territorial entity, located in the modern-day administrative territorial entity, located in the present-day administrative territorial entity, located in present day administrative territorial entity (wd:P3842 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): the item was located in the territory of this present-day administrative unit; however the two did not at any point coexist in time, subproperty of location, subproperty of part of
4. located in the statistical territorial entity, also known as located in statistical territorial entity, statistical territorial entity (wd:P8138 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): statistical territorial entity in which a place is located or is...nty is split into or part of several regions: add several values, subproperty of location
5. territory overlaps, also known as partially located in territorial entity, partly overlaps, partly located in territorial entity, partly coincident with, partially overlaps (wd:P3179 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): part or all of the area associated with (this) entity overlaps part or all of the area associated with that entity, subproperty of partially coincident with
6. location, also known as neighborhood, locale, neighbourhood, place, place held (wd:P276 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object
7. capital, also known as principal place, seat of government, seat, location of capital, has capital (wd:P36 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): seat of government of a country, province, state or other type of administrative territorial entity
8. located in the religious territorial entity, also known as Vicariate, religious territorial entity, located in the ecclesiastical territorial entity, Parish, Deanery (wd:P5607 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): the item is located on the territory of the following religious entity. Use P708 (diocese) for dioceses, subproperty of location, subproperty of part of
9. capital of, also known as national capital of, parish seat of, provincial capital of, seat of, state capital (wd:P1376 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): country, state, department, canton or other administrative division of which the municipality is the governmental seat, subproperty of located in the administrative territorial entity
10. contains the statistical territorial entity, also known as contains statistical territorial entity (wd:P10888 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): (list of) statistical territorial entities which are direct subd...ions of another statistical or administrative territorial entity, subproperty of has part(s)

[Assistant] Now I will build an initial SPARQL query to find items in Molise (wd:Q1443) that are instances of classes that are subclasses of "religious building" (wd:Q24398318) or "church building" (wd:Q16970). I'll run a preliminary query to see results and then refine.

[Tool]
Got 100 rows and 3 columns, showing the first 5 and last 5 rows below:
| place                                 | placeLabel                 | type                        |
| ------------------------------------- | -------------------------- | --------------------------- |
| Santa Maria Assunta (wd:Q100276059)   | Santa Maria Assunta (en)   | church building (wd:Q16970) |
| San Giacomo (wd:Q106337584)           | San Giacomo (en)           | church building (wd:Q16970) |
| San Giovanni Battista (wd:Q106337710) | San Giovanni Battista (en) | church building (wd:Q16970) |
| wd:Q106337908                         |                            | church building (wd:Q16970) |
| San Nicola di Bari (wd:Q106337989)    | San Nicola di Bari (en)    | church building (wd:Q16970) |
| ...                                   | ...                        | ...                         |
| wd:Q118352700                         |                            | church building (wd:Q16970) |
| wd:Q118352701                         |                            | church building (wd:Q16970) |
| wd:Q118352702                         |                            | church building (wd:Q16970) |
| wd:Q118352703                         |                            | church building (wd:Q16970) |
| wd:Q118352704                         |                            | church building (wd:Q16970) |

[Assistant] Now I'll run a refined SPARQL query that returns all items located in Molise (wd:Q1443) that are instances of classes that are subclasses of "religious building" (wd:Q24398318). I'll also retrieve English and Italian labels when available and the type label.

[Tool]
Got 636 rows and 5 columns, showing the first 5 and last 5 rows below:
| place                                      | placeLabelEn                     | placeLabelIt                                       | type                                  | typeLabel                   |
| ------------------------------------------ | -------------------------------- | -------------------------------------------------- | ------------------------------------- | --------------------------- |
| wd:Q118352975                              |                                  | chiesa di Santa Maria Assunta (it)                 | church building (wd:Q16970)           | church building (en)        |
| wd:Q118352967                              |                                  | chiesa della Madonna del Perpetuo Soccorso (it)    | church building (wd:Q16970)           | church building (en)        |
| wd:Q118352968                              |                                  | chiesa di Maria Santissima Annunziata (it)         | church building (wd:Q16970)           | church building (en)        |
| wd:Q118352969                              |                                  | chiesa di San Carlo Borromeo (it)                  | church building (wd:Q16970)           | church building (en)        |
| wd:Q118352970                              |                                  | chiesa di San Donato Vescovo e Martire (it)        | church building (wd:Q16970)           | church building (en)        |
| ...                                        | ...                              | ...                                                | ...                                   | ...                         |
| St Peter the Apostle church (wd:Q98249147) | St Peter the Apostle church (en) | chiesa di San Pietro Apostolo Spinete (it)         | church building (wd:Q16970)           | church building (en)        |
| St Peter the Apostle church (wd:Q98249147) | St Peter the Apostle church (en) | chiesa di San Pietro Apostolo Spinete (it)         | Catholic parish church (wd:Q55876909) | Catholic parish church (en) |
| Termoli Cathedral (wd:Q2942828)            | Termoli Cathedral (en)           | cattedrale di Santa Maria della Purificazione (it) | cathedral (wd:Q2977)                  | cathedral (en)              |
| Termoli Cathedral (wd:Q2942828)            | Termoli Cathedral (en)           | cattedrale di Santa Maria della Purificazione (it) | minor basilica (wd:Q120560)           | minor basilica (en)         |
| Venafro Cathedral (wd:Q2942847)            | Venafro Cathedral (en)           | concattedrale di Santa Maria Assunta (it)          | co-cathedral (wd:Q2577114)            | co-cathedral (en)           |

[Assistant]
The query returned many items (636). The user likely expects a list of religious buildings in Molise. I should provide a SPARQL query that returns these items with labels (English and Italian) and their types. According to the additional rules, I must explain my thought process before and after each step and function call — I have been doing that. Now I will prepare the final SPARQL query to return all religious buildings located in Molise, using the P131+ path and instances of subclasses of religious building (wd:Q24398318) or church building (wd:Q16970). To be comprehensive, I'll include both by checking P31/wdt:P279* for wd:Q24398318 OR wd:Q16970. I'll include both English and Italian labels and the type label. I'll then execute the final query to ensure it returns results, then present the query and a short summary of results.

I'll construct and execute the final query now.

[Tool]
Got 636 rows and 5 columns, showing the first 5 and last 5 rows below:
| place                                               | placeLabelEn                              | placeLabelIt                                     | type                              | typeLabel               |
| --------------------------------------------------- | ----------------------------------------- | ------------------------------------------------ | --------------------------------- | ----------------------- |
| Santa Chiara, Isernia (wd:Q126960067)               | Santa Chiara, Isernia (en)                |                                                  | religious building (wd:Q24398318) | religious building (en) |
| Abbey of Santa Maria di Faifoli (wd:Q18415979)      | Abbey of Santa Maria di Faifoli (en)      | abbazia di Santa Maria di Faifoli (it)           | abbey (wd:Q160742)                | abbey (en)              |
| San Vincenzo al Volturno abbey (wd:Q2425141)        | San Vincenzo al Volturno abbey (en)       | abbazia di San Vincenzo al Volturno (it)         | benedictine abbey (wd:Q817056)    | benedictine abbey (en)  |
| Basilica of Saepinum-Altilia (wd:Q123197001)        | Basilica of Saepinum-Altilia (en)         | Basilica di Saepinum-Altilia (it)                | civil basilica (wd:Q2887138)      | civil basilica (en)     |
| Basilica of San Nicandro, Venafro (wd:Q18210767)    | Basilica of San Nicandro, Venafro (en)    | basilica di San Nicandro (it)                    | church building (wd:Q16970)       | church building (en)    |
| ...                                                 | ...                                       | ...                                              | ...                               | ...                     |
| Samnite Sanctuary at Pietrabbondante (wd:Q21552374) | Samnite Sanctuary at Pietrabbondante (en) | Santuario Italico (it)                           | shrine (wd:Q697295)               | shrine (en)             |
| wd:Q118353024                                       |                                           | S. Michele Arcangelo (it)                        | church building (wd:Q16970)       | church building (en)    |
| wd:Q130300660                                       |                                           | tempio maggiore di Pietrabbondante (it)          | temple (wd:Q44539)                | temple (en)             |
| wd:Q130300665                                       |                                           | tempio minore di Pietrabbondante (it)            | temple (wd:Q44539)                | temple (en)             |
| San Vincenzo al Volturno Old Abbey (wd:Q65029706)   | San Vincenzo al Volturno Old Abbey (en)   | Vecchia abbazia di San Vincenzo al Volturno (it) | abbey (wd:Q160742)                | abbey (en)              |

[Assistant] The final query returned 636 items. I'll now provide the final SPARQL query and a short answer explaining that it lists religious buildings in Molise and noting the number of results. According to the rules, I must include the query and the answer, and also explain my steps (which I already did before/after calls). I'll now call the answer function with the final query and the summary.

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX wikibase: <http://wikiba.se/ontology#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX psv: <http://www.wikidata.org/prop/statement/value/>
SELECT ?mun ?labelDe ( AVG( ?lat ) AS ?avgLat ) ( AVG( ?lon ) AS ?avgLon ) ( AVG( ?pop ) AS ?avgPop ) WHERE {
  ?mun wdt:P17 wd:Q40 .
  ?mun wdt:P31 / wdt:P279 * wd:Q667509 .
  FILTER NOT EXISTS {
    ?mun wdt:P576 ?diss
  }
  .
  OPTIONAL {
    ?mun p:P625 ?coordStmt .
    ?coordStmt psv:P625 ?coordValue .
    ?coordValue wikibase:geoLatitude ?lat ; wikibase:geoLongitude ?lon .
  }
  OPTIONAL {
    ?mun p:P1082 ?popStmt .
    ?popStmt ps:P1082 ?pop .
  }
  OPTIONAL {
    ?mun rdfs:label ?labelDe FILTER ( LANG( ?labelDe ) = "de" )
  }
}
GROUP BY ?mun ?labelDe
ORDER BY ?labelDe

I executed a SPARQL query that: (1) selects items that are instances/subclasses of municipality of Austria (wd:Q667509) and have country Austria (wd:Q40); (2) excludes items with a dissolution date (P576) to keep only municipalities still in existence; (3) aggregates all coordinate statements (P625) to compute average latitude and longitude per municipality (using wikibase:geoLatitude / wikibase:geoLongitude extracted from psv:P625); (4) aggregates all population statements (P1082) to compute average population per municipality; and (5) returns German labels (rdfs:label@de) when available.

The query returns for each municipality its Wikidata IRI (?mun), the German label (?labelDe), the average latitude (?avgLat), average longitude (?avgLon), and average population (?avgPop). I executed the query and it returned 2,463 rows (one per municipality). You can re-run the supplied SPARQL query on the wikidata endpoint to retrieve the full results.

What are the names, average latitudes, average longitudes, and average populations of municipalities in Austria that are still in existence, with labels in German?

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You are provided with some general notes:
No notes available

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Search for the entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
3. Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
4. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
5. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
6. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
7. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
8. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] What are the names, average latitudes, average longitudes, and average populations of municipalities in Austria that are still in existence, with labels in German?

[Assistant] I will search for the item representing "municipality of Austria" (or Austrian municipality) and properties for coordinate, population, and existence status. I'll explain each step and run queries to verify entity and property identifiers.

[Tool]
Top 10 entity alternatives:
1. municipality of Austria (wd:Q667509)
2. rural municipality of Austria (wd:Q1802801)
3. cadastral municipality of Austria, also known as cadastral community of Austria (wd:Q17376095)
4. former municipality of Austria (wd:Q19347965)
5. Austria, also known as Republic of Austria, Republik Österreich, Österreich (wd:Q40): instance of landlocked country, instance of successor state, instance of sovereign state, country in Central Europe, instance of Rechtsstaat, instance of republic, instance of country, instance of state
6. Shanghai, also known as Shanghai Municipality, Shanghai, China, Shanghai City, Xanghae, Zanghae (wd:Q8686): instance of Economic and Technological Development Zones, instance of direct-administered municipality, provincial-level municipality in China, instance of national central city, instance of largest city, instance of global city, instance of metropolis, instance of port city, instance of megacity, instance of big city
7. Tianjin, also known as Tientsin, Tien-tsin, Tianjin Municipality, Municipality of Tianjin (wd:Q11736): instance of Economic and Technological Development Zones, instance of direct-administered municipality, instance of national central city, instance of port city, municipality of China, instance of big city, instance of megacity, instance of city
8. Córdoba, also known as Municipality of Cordova, Cordova, Cordova municipality, Cordoba (wd:Q5818): municipality in the province of Córdoba, Spain, instance of municipality of Spain
9. Anchorage, also known as The City of Lights and Flowers, Anchorage, Alaska, Municipality of Anchorage (wd:Q39450): consolidated city-borough in Alaska, United States of America, instance of city in the United States, instance of consolidated city-county, instance of big city
10. Toledo, also known as Toledo, Spain, Toledo Municipality, Toledo municipality, Toledo, Castile-La Mancha, Municipality of Toledo (wd:Q5836): instance of municipality of Spain, municipality in central Spain, instance of city

[Assistant] I'll search for examples of how coordinate latitude/longitude are extracted in this endpoint, and confirm property IDs for dissolution (P576) and population (P1082).

[Tool]
Top 10 property alternatives:
1. coordinate location, also known as gps co-ordinates, wgs 84, gps coordinates, gps location, latitude (wd:P625 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
2. coordinates of depicted place, also known as depicted item geolocation, geolocation of object, object geolocation (wd:P9149 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): coordinates of the place depicted in the work (or Commons image)
3. this zoological name is coordinate with, also known as coordinate name (wd:P2743 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): links coordinate zoological names, subproperty of different from
4. coordinates of geographic center, also known as geographic centre, geographic center, geographical midpoint, geographical centre, coordinates of geographic centre (wd:P5140 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): coordinates of the center of an area. Use qualifier "determination method" (P459) to indicate how, subproperty of coordinate location
5. named place on map, also known as name on map, place on map (wd:P9664 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): property linking a map to a place named on it
6. location map (wd:P1943 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): blank geographic map image suitable for overlaying coordinate points, as defined at c:Category:Location maps, subproperty of image
7. located in/on physical feature, also known as on geographical feature, on, loc (terr), located on the terrain feature, location (terrain feature) (wd:P706 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): located on the specified (geo)physical feature. Should not be us...nly political/administrative (P131) or a mountain range (P4552)., subproperty of location, subproperty of part of
8. geoshape, also known as Commons map data, geographic data, geographic shape, .map, map data (wd:P3896 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): geographic data from Wikimedia Commons
9. location code (wd:P13262 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): an assigned code for the location (physical or virtual) within a given system (please use more specific property if available), subproperty of catalog code
10. WOEID, also known as Flickr Geo ID, Flickr location ID, GeoPlanet location ID, Where On Earth Identifier, woe_id (wd:P1281 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): identifier for a location on Yahoo! GeoPlanet and Flickr

[Assistant]
Properties:
- coordinate location = wdt:P625
- population = wdt:P1082
- dissolution date = wdt:P576 (but existence still in existence means no dissolution date; check for absence)
I will search for instances of municipality of Austria (wd:Q667509) to get all municipalities in Austria. Need to ensure they are located in Austria (country = wd:Q40) and are instance of municipality of Austria. I'll search for property 'instance of' (P31) and country (P17? but administrative location better via 'country' P17). Municipalities might have 'country' P17 = Austria. Also check 'located in the administrative territorial entity' P131 could point to Austrian states; but simplest: items that are instance of municipality of Austria (wd:Q667509) and country (wdt:P17) Austria (wd:Q40). I'll run a query listing some municipalities to verify.

[Tool]
Top 10 property alternatives:
1. locality number in Austria, also known as Ortschaftskennziffer, Ortschaftskennziffer (Austria) (wd:P8384 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): identifier for a locality in Austria (Ortschaftskennziffer); format: 5 digits, generally starting with 0 or 1
2. Austrian municipality key, also known as ÖSTAT-Nummer (wd:P964 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): identifier for municipalities in Austria (ÖSTAT-Nummer), format: 5 digits
3. cadastral municipality ID in Austria, also known as cadastral municipality number in Austria, Katastralgemeinde-Nummer (wd:P8322 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): identifier for cadastral municipalities of Austria (Katastralgem...mat: 5 digits; different from "Austrian municipality key" (P964)
4. Austrian Street ID, also known as street identifier (Austria), street number in Austria, Straßenkennziffer (wd:P10198 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): six-digit identifier for named and inhabited streets within sett...raßenkennziffer). May apply to settlements without named streets, subproperty of street key
5. Austrian school ID (wd:P10181 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): A 6-digit number used by the Austrian government to identify schools.
6. Nachlässe in Austria ID, also known as Nachlässe in Austria identifier (wd:P8728 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): identifier of a reference work on artistic, academic and cultural Nachlässe in Austria
7. Austria-Forum person ID (wd:P10886 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): identifier for a person in the biographies section of Austria-Forum
8. Cultural heritage database in Austria ObjektID, also known as Denkmalgeschütztes Objekt Österreich ID, Austria Cultural ObjectID (wd:P2951 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): identifier given by the published BDA (Bundesdenkmalamt) list of monuments
9. German municipality key, also known as municipality key (Germany), Gemeindeschlüssel (wd:P439 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): identifier for municipalities and independent towns in Germany
10. has census, also known as has human population census (wd:P8701 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): general population census of the country or region

[Assistant] I'll run a SPARQL query to get municipalities (instance of Q667509) with country Austria (P17 Q40), that have coordinates (P625) and population (P1082), and which do not have a dissolution date (P576). The user asks for names in German and average latitudes/longitudes/populations of municipalities in Austria that are still in existence. I need to compute averages per municipality? Wait: "average latitudes, average longitudes, and average populations of municipalities in Austria that are still in existence, with labels in German" — For each municipality, average lat and long and average population. Average over what? Possibly municipalities having multiple coordinate points or multiple population statements; we should average over all available values. So for each municipality, aggregate AVG of coordinates' latitude, AVG of longitude, AVG of population statements (psv?). In Wikidata, P625 is a coordinate value that can be extracted with ?coord wdt:P625 ?location ; use 'geof' functions? But in SPARQL we can use ?location to get literal like "Point(long lat)" typed as geo:wktLiteral? In Wikidata SPARQL, usually you use ?item wdt:P625 ?coord. The value is a literal with "Point(longitude latitude)"^^geo:wktLiteral. But QLever endpoint? Likely similar. We need to extract lat and long using functions: use geof:latitude(?coord) and geof:longitude(?coord)? Prefix geof provided. There is geof namespace. Use geof:latitude and geof:longitude? Actually prefixes: geo and geof available. There is a function geof:distance etc. But geof:latitude is not standard. However many examples use strdt and then regex— but better to use psv or ps? Another approach: use the wikibaseCoordinate value via p:P625 ?coordStmt ; ?coordStmt psv:P625 ?coordElement . The psv value is typed as a wikibase-entity or value that has wikibase:geoLatitude and wikibase:geoLongitude? There are properties: wdt:P625 gives a literal. But in SPARQL, there are functions to extract coordinates: use bif:st_x? Not in QLever. The allowed prefixes included geof and geof: geof functions maybe geof:longitude(?coord) and geof:latitude(?coord) implemented by QLever? In previous tasks, used property p:P625 ?cstmt; ?cstmt psv:P625 ?coord . The psv:P625 node has wikibase:geoLatitude and wikibase:geoLongitude? Let's inspect a municipality's coordinate statement. I'll list triples for a known municipality, e.g., Vienna (wd:Q1741) to see representation.

[Tool]
Got 1,805 rows and 3 columns, showing the first 10 rows below:
| subject           | property                                                    | object                                                                        |
| ----------------- | ----------------------------------------------------------- | ----------------------------------------------------------------------------- |
| Vienna (wd:Q1741) | instance of (wdt:P31)                                       | city-state (wd:Q133442)                                                       |
| Vienna (wd:Q1741) | country (wdt:P17)                                           | Austria (wd:Q40)                                                              |
| Vienna (wd:Q1741) | located in the administrative territorial entity (wdt:P131) | Austria (wd:Q40)                                                              |
| Vienna (wd:Q1741) | coordinate location (wdt:P625)                              | POINT(16.372500 48.208333) (geo:wktLiteral)                                   |
| Vienna (wd:Q1741) | Commons category (wdt:P373)                                 | Vienna                                                                        |
| Vienna (wd:Q1741) | image (wdt:P18)                                             | <http://commons.wikimedia.org/wiki/Special:FilePath/Collage%20von%20Wien.jpg> |
| Vienna (wd:Q1741) | population (wdt:P1082)                                      | 1973403 (xsd:decimal)                                                         |
| Vienna (wd:Q1741) | inception (wdt:P571)                                        | -100-01-01T00:00:00Z (xsd:dateTime)                                           |
| Vienna (wd:Q1741) | described by source (wdt:P1343)                             | Great dictionary of geographical names (wd:Q113510146)                        |
| Vienna (wd:Q1741) | official name (wdt:P1448)                                   | Wien (de-at)                                                                  |
| ...               | ...                                                         | ...                                                                           |

[Tool]
Top 10 property alternatives:
1. coordinate location, also known as gps co-ordinates, wgs 84, gps coordinates, gps location, latitude (wd:P625 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
2. Sandbox-GeoCoordinateValue, also known as Sandbox-Coordinates (wd:P626 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): Sandbox property for value of type "GeoCoordinateValue"
3. this zoological name is coordinate with, also known as coordinate name (wd:P2743 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): links coordinate zoological names, subproperty of different from
4. coordinates of geographic center, also known as geographic centre, geographic center, geographical midpoint, geographical centre, coordinates of geographic centre (wd:P5140 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): coordinates of the center of an area. Use qualifier "determination method" (P459) to indicate how, subproperty of coordinate location
5. coordinates of depicted place, also known as depicted item geolocation, geolocation of object, object geolocation (wd:P9149 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): coordinates of the place depicted in the work (or Commons image)
6. coordinates of westernmost point, also known as wikibase:geoLongitude ?W, westernmost point coordinates, westerly point, extreme west, most western (wd:P1335 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): westernmost point of a location
7. geoshape, also known as Commons map data, geographic data, geographic shape, .map, map data (wd:P3896 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): geographic data from Wikimedia Commons
8. coordinates of easternmost point, also known as wikibase:geoLongitude ?E, most eastern, farthest east, easternmost point coordinates, easterly (wd:P1334 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): easternmost point of a location
9. coordinates of northernmost point, also known as wikibase:geoLatitude ?max, northernmost point coordinates, northerly point, northerly, farthest north (wd:P1332 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): northernmost point of a location. For an administrative entity this includes offshore islands
10. coordinates of southernmost point, also known as coordinate of southernmost point, extreme point south, farthest south, most south, southerly (wd:P1333 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): southernmost point of a place. For administrative entities this includes offshore islands

[Tool]
Got 28 rows and 3 columns, showing the first 5 and last 5 rows below:
| mun | popStmt                                      | popVal                |
| --- | -------------------------------------------- | --------------------- |
|     | s:Q1741-0837B9E8-442B-43A6-BB36-3466CB1FB588 | 1770938 (xsd:decimal) |
|     | s:Q1741-0BB5EB8B-C52C-4317-82C6-8E21A6AF8904 | 1769137 (xsd:decimal) |
|     | s:Q1741-126D393D-8C2C-45FE-99B8-BC9FADCB9B1A | 1494874 (xsd:decimal) |
|     | s:Q1741-14DB48FE-E3D0-4587-96A6-74FCCA99B586 | 1918720 (xsd:decimal) |
|     | s:Q1741-152e50c6-4bc9-6963-c9f9-0dcc324e856b | 1973403 (xsd:decimal) |
| ... | ...                                          | ...                   |
|     | s:Q1741-e1bc68ac-4cec-1aef-57fb-e02b42031626 | 1726225 (xsd:decimal) |
|     | s:Q1741-e72d6f3e-42f9-64b5-3d6e-2a802d324813 | 1730278 (xsd:decimal) |
|     | s:Q1741-E7BE7193-96D8-45F7-B61C-7B00B6C95B96 | 1616125 (xsd:decimal) |
|     | s:Q1741-EDB7CF5A-6E6A-4760-8260-8D8B2462103E | 1797337 (xsd:decimal) |
|     | s:Q1741-f864d721-4fef-99b7-f1a7-5e2dc912873a | 1619885 (xsd:decimal) |

[Tool]
Got 1 row and 4 columns:
| stmt                                         | psv                                | lat                   | lon                   |
| -------------------------------------------- | ---------------------------------- | --------------------- | --------------------- |
| s:q1741-0E32D9D4-EF40-4A74-8120-B55A454115CC | v:e9d97f6c4423e3632e0f774a79c5dbf9 | 48.2083 (xsd:decimal) | 16.3725 (xsd:decimal) |

[Assistant] Now I'll run the SPARQL query to retrieve municipalities in Austria (instance of municipality of Austria), exclude dissolved ones (no P576), and compute average latitude, longitude, and population from all available coordinate and population statements. I'll request German labels.

[Tool]
Got 1,000 rows and 5 columns, showing the first 5 and last 5 rows below:
| mun                        | labelDe            | avgLat                | avgLon                | avgPop                |
| -------------------------- | ------------------ | --------------------- | --------------------- | --------------------- |
| wd:Q133331991              |                    |                       |                       |                       |
| wd:Q133329490              |                    |                       |                       |                       |
| wd:Q437399                 |                    | 47.0667 (xsd:decimal) | 16.05 (xsd:decimal)   | 1133 (xsd:decimal)    |
| Aalfang (wd:Q51281957)     | Aalfang (de)       | 48.8388 (xsd:decimal) | 15.0684 (xsd:decimal) |                       |
| Abfaltersbach (wd:Q319992) | Abfaltersbach (de) | 46.7603 (xsd:decimal) | 12.5419 (xsd:decimal) | 593.143 (xsd:decimal) |
| ...                        | ...                | ...                   | ...                   | ...                   |
| Krenglbach (wd:Q677389)    | Krenglbach (de)    | 48.2039 (xsd:decimal) | 13.9569 (xsd:decimal) | 3117 (xsd:decimal)    |
| Krensdorf (wd:Q670784)     | Krensdorf (de)     | 47.7861 (xsd:decimal) | 16.4142 (xsd:decimal) | 634 (xsd:decimal)     |
| Kreuttal (wd:Q608588)      | Kreuttal (de)      | 48.4333 (xsd:decimal) | 16.4833 (xsd:decimal) | 1425.5 (xsd:decimal)  |
| Kreuzstetten (wd:Q665417)  | Kreuzstetten (de)  | 48.4667 (xsd:decimal) | 16.4667 (xsd:decimal) | 1560.5 (xsd:decimal)  |
| Krieglach (wd:Q671402)     | Krieglach (de)     | 47.5456 (xsd:decimal) | 15.5594 (xsd:decimal) | 5263 (xsd:decimal)    |

[Assistant] Now I'll run the final SPARQL query (no LIMIT) that gathers for each Austrian municipality (instance of Q667509, country Austria) that has no dissolution date the average of all coordinate latitudes, average of longitudes, and average of all recorded population values. I will request the German label (rdfs:label@de) if present.

[Tool]
Got 2,463 rows and 5 columns, showing the first 5 and last 5 rows below:
| mun                                   | labelDe                       | avgLat                | avgLon                | avgPop                |
| ------------------------------------- | ----------------------------- | --------------------- | --------------------- | --------------------- |
| wd:Q133331991                         |                               |                       |                       |                       |
| wd:Q133329490                         |                               |                       |                       |                       |
| wd:Q437399                            |                               | 47.0667 (xsd:decimal) | 16.05 (xsd:decimal)   | 1133 (xsd:decimal)    |
| Aalfang (wd:Q51281957)                | Aalfang (de)                  | 48.8388 (xsd:decimal) | 15.0684 (xsd:decimal) |                       |
| Abfaltersbach (wd:Q319992)            | Abfaltersbach (de)            | 46.7603 (xsd:decimal) | 12.5419 (xsd:decimal) | 593.143 (xsd:decimal) |
| ...                                   | ...                           | ...                   | ...                   | ...                   |
| Zwentendorf an der Donau (wd:Q243860) | Zwentendorf an der Donau (de) | 48.3425 (xsd:decimal) | 15.9139 (xsd:decimal) | 3994.5 (xsd:decimal)  |
| Zwettl an der Rodl (wd:Q244502)       | Zwettl an der Rodl (de)       | 48.4667 (xsd:decimal) | 14.2672 (xsd:decimal) | 1774 (xsd:decimal)    |
| Zwettl (wd:Q244506)                   | Zwettl-Niederösterreich (de)  | 48.6033 (xsd:decimal) | 15.1689 (xsd:decimal) | 10879 (xsd:decimal)   |
| Zwischenwasser (wd:Q245081)           | Zwischenwasser (de)           | 47.2792 (xsd:decimal) | 9.66556 (xsd:decimal) | 3213 (xsd:decimal)    |
| Zwölfaxing (wd:Q245210)               | Zwölfaxing (de)               | 48.1093 (xsd:decimal) | 16.463 (xsd:decimal)  | 1711.5 (xsd:decimal)  |

[Assistant] I will now provide the final SPARQL query and answer summary. I must include my thought process before and after each step and function call. I already included explanations earlier. Now I'll call the answer function with the final SPARQL query and a brief explanation of the results.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT DISTINCT ?country ?countryLabel WHERE {
  {
    ?country wdt:P31 wd:Q3624078 .
  } UNION {
    ?country wdt:P31 wd:Q6256 .
  }
  ?country rdfs:label ?countryLabel .
  FILTER ( LANG( ?countryLabel ) = "en" ) .
}
ORDER BY ?countryLabel

Got 217 rows and 2 columns, showing the first 5 and last 5 rows below:
| country               | countryLabel     |
| --------------------- | ---------------- |
| Afghanistan (wd:Q889) | Afghanistan (en) |
| Albania (wd:Q222)     | Albania (en)     |
| Algeria (wd:Q262)     | Algeria (en)     |
| Andorra (wd:Q228)     | Andorra (en)     |
| Angola (wd:Q916)      | Angola (en)      |
| ...                   | ...              |
| Venezuela (wd:Q717)   | Venezuela (en)   |
| Vietnam (wd:Q881)     | Vietnam (en)     |
| Yemen (wd:Q805)       | Yemen (en)       |
| Zambia (wd:Q953)      | Zambia (en)      |
| Zimbabwe (wd:Q954)    | Zimbabwe (en)    |

I executed the query on Wikidata and retrieved 217 countries, ordered by their English names. The list starts with Afghanistan (wd:Q889), Albania (wd:Q222), Algeria (wd:Q262), Andorra (wd:Q228), Angola (wd:Q916), ... and ends with Venezuela (wd:Q717), Vietnam (wd:Q881), Yemen (wd:Q805), Zambia (wd:Q953), Zimbabwe (wd:Q954). The full list of 217 items is returned by the SPARQL query above.

What are the countries, ordered by their names in English?

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You are provided with some general notes:
No notes available

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Search for the entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
3. Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
4. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
5. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
6. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
7. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
8. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] What are the countries, ordered by their names in English?

[Assistant] Step 1 — I will search for relevant entities and properties: the Wikidata item for "country" and "sovereign state", and the property for ISO 3166-1 alpha-2 code (commonly used to identify countries). I'll first search for the entity "country".

[Tool]
Top 10 entity alternatives:
1. country, also known as countries (wd:Q6256)
2. country music, also known as country and western, country & western, country (wd:Q83440)
3. sovereign state, also known as country, Westphalian state, sovereign nation, sovereign country, nation (wd:Q3624078)
4. Dennis Rodman, also known as Rodzilla, Psycho, Worm, The Worm, Country (wd:Q201608): American basketball player, professional wrestler, instance of human, basketball player, basketball coach, amateur wrestler, voice actor, film actor, actor
5. Country (wd:Q1754454): 1984 film directed by Richard Pearce, instance of film
6. .country (wd:Q20571777): instance of top-level domain, top-level domain
7. Country (wd:Q5177190): music album by Anne Murray, instance of album
8. Country (wd:Q48816259): People in rural areas of the United States
9. Country (wd:Q26779428): Chilean political party founded in 2016, instance of political party
10. Country (wd:Q131740702): album by Tom Jones, instance of album

[Assistant] Step 2 — I'll run a small test query to count how many items are instances of "sovereign state" (wd:Q3624078) or "country" (wd:Q6256) and have an English rdfs:label. This verifies that these classes cover countries with English labels. I'll execute a COUNT query first.

[Tool]
Got 1 row and 1 column:
| count         |
| ------------- |
| 217 (xsd:int) |

[Assistant] Step 3 — I'll run the final query that selects items that are instance of "sovereign state" (wd:Q3624078) or "country" (wd:Q6256), retrieves their English rdfs:label, and orders the results by that English label. I'll execute the query now.

[Tool]
Got 217 rows and 2 columns, showing the first 5 and last 5 rows below:
| country               | countryLabel     |
| --------------------- | ---------------- |
| Afghanistan (wd:Q889) | Afghanistan (en) |
| Albania (wd:Q222)     | Albania (en)     |
| Algeria (wd:Q262)     | Algeria (en)     |
| Andorra (wd:Q228)     | Andorra (en)     |
| Angola (wd:Q916)      | Angola (en)      |
| ...                   | ...              |
| Venezuela (wd:Q717)   | Venezuela (en)   |
| Vietnam (wd:Q881)     | Vietnam (en)     |
| Yemen (wd:Q805)       | Yemen (en)       |
| Zambia (wd:Q953)      | Zambia (en)      |
| Zimbabwe (wd:Q954)    | Zimbabwe (en)    |

[Assistant] I will now provide the final SPARQL query and the answer (the list of countries ordered by English name).

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
SELECT ?film ?filmLabel ( GROUP_CONCAT( DISTINCT ?genreLabel ; separator = ", " ) AS ?genres ) ( MIN( ?pubDate ) AS ?earliestPubDate ) WHERE {
  ?film wdt:P57 wd:Q1151111 .
  ?film wdt:P31 ?filmType .
  ?filmType wdt:P279 * wd:Q11424 .
  OPTIONAL {
    ?film rdfs:label ?filmLabel .
    FILTER ( LANG( ?filmLabel ) = "en" )
  }
  FILTER ( ! BOUND( ?filmLabel ) || ( ! CONTAINS( LCASE( ?filmLabel ) , "collector" ) && ! CONTAINS( LCASE( ?filmLabel ) , "edition" ) && ! CONTAINS( LCASE( ?filmLabel ) , "soundtrack" ) ) ) OPTIONAL {
    ?film wdt:P136 ?genre .
    ?genre rdfs:label ?genreLabel .
    FILTER ( LANG( ?genreLabel ) = "en" )
  }
  OPTIONAL {
    ?film p:P577 ?pubStmt .
    ?pubStmt ps:P577 ?pubDate .
  }
}
GROUP BY ?film ?filmLabel
ORDER BY ?filmLabel

Got 10 rows and 4 columns:
| film                                            | filmLabel                             | genres                                                                   | earliestPubDate                     |
| ----------------------------------------------- | ------------------------------------- | ------------------------------------------------------------------------ | ----------------------------------- |
| Flypaper (wd:Q636294)                           | Flypaper (en)                         | comedy film (en)                                                         | 2011-01-01T00:00:00Z (xsd:dateTime) |
| Mr. Peabody & Sherman (wd:Q6929072)             | Mr. Peabody & Sherman (en)            | family film, time-travel film, a...ure film, science fiction comedy (en) | 2014-02-07T00:00:00Z (xsd:dateTime) |
| Paws of Fury: The Legend of Hank (wd:Q21450513) | Paws of Fury: The Legend of Hank (en) | family film, comedy film, martia... action comedy film, action film (en) | 2021-11-05T00:00:00Z (xsd:dateTime) |
| Roller Coaster Rabbit (wd:Q20004165)            | Roller Coaster Rabbit (en)            | comedy film (en)                                                         | 1990-01-01T00:00:00Z (xsd:dateTime) |
| Stuart Little (wd:Q1048958)                     | Stuart Little (en)                    | family film, comedy film, film based on a novel (en)                     | 1999-12-17T00:00:00Z (xsd:dateTime) |
| Stuart Little 2 (wd:Q1070554)                   | Stuart Little 2 (en)                  | comedy film, film based on literature, family film (en)                  | 2002-07-19T00:00:00Z (xsd:dateTime) |
| The Forbidden Kingdom (wd:Q176568)              | The Forbidden Kingdom (en)            | fantasy film, film based on a no...e-travel film, martial arts film (en) | 2008-01-01T00:00:00Z (xsd:dateTime) |
| The Haunted Mansion (wd:Q1212923)               | The Haunted Mansion (en)              | Halloween film, ghost film, fant... film, comedy film, mystery film (en) | 2003-11-26T00:00:00Z (xsd:dateTime) |
| The Lion King (wd:Q36479)                       | The Lion King (en)                    | musical film, adventure film, family film, drama film (en)               | 1994-01-01T00:00:00Z (xsd:dateTime) |
| Tummy Trouble (wd:Q22350906)                    | Tummy Trouble (en)                    | comedy film (en)                                                         | 1989-01-01T00:00:00Z (xsd:dateTime) |

Films directed by Rob Minkoff (film IRI — English label) with genres (if available) and earliest publication date (if available):

- wd:Q636294 — Flypaper — Genres: comedy film — Earliest publication date: 2011-01-01
- wd:Q6929072 — Mr. Peabody & Sherman — Genres: family film, time-travel film, animated adventure film, science fiction comedy — Earliest publication date: 2014-02-07
- wd:Q21450513 — Paws of Fury: The Legend of Hank — Genres: family film, comedy film, martial arts film, action comedy film, action film — Earliest publication date: 2021-11-05
- wd:Q20004165 — Roller Coaster Rabbit — Genres: comedy film — Earliest publication date: 1990-01-01
- wd:Q1048958 — Stuart Little — Genres: family film, comedy film, film based on a novel — Earliest publication date: 1999-12-17
- wd:Q1070554 — Stuart Little 2 — Genres: comedy film, film based on literature, family film — Earliest publication date: 2002-07-19
- wd:Q176568 — The Forbidden Kingdom — Genres: fantasy film, film based on a novel, time-travel film, martial arts film — Earliest publication date: 2008-01-01
- wd:Q1212923 — The Haunted Mansion — Genres: Halloween film, ghost film, fantasy film, comedy film, mystery film — Earliest publication date: 2003-11-26
- wd:Q36479 — The Lion King — Genres: musical film, adventure film, family film, drama film — Earliest publication date: 1994-01-01
- wd:Q22350906 — Tummy Trouble — Genres: comedy film — Earliest publication date: 1989-01-01

Note: I filtered out items whose English labels contained "collector", "edition", or "soundtrack" to avoid duplicate/edition items (e.g., "Stuart Little (Collector's Edition)"). The query returns the film IRIs (identifiers), English labels, concatenated English genre labels (if any), and the earliest publication date found on Wikidata for each film.

What are the films directed by Rob Minkoff and the genres of the films (if available), and the earliest publication date of each film (if available)?

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You are provided with some general notes:
No notes available

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Search for the entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
3. Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
4. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
5. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
6. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
7. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
8. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] What are the films directed by Rob Minkoff and the genres of the films (if available), and the earliest publication date of each film (if available)?

[Assistant] I will first search for the Wikidata entity for Rob Minkoff, then find films where he is listed as director (P57), retrieve film genres (P136) if any, and publication dates (P577). I will verify property identifiers as I go. I'll run queries step by step and explain each call. Now I'll search for Rob Minkoff.

[Tool]
Top 10 entity alternatives:
1. Rob Minkoff, also known as Robert Minkoff, Robert R. Minkoff (wd:Q1151111): American filmmaker, character animator, instance of human, film producer, film director, screenwriter
2. robbery, also known as rob, robbing, stick up, stick-up, stickup (wd:Q53706)
3. Robert Sheehan, also known as Rozzy, Robert Michael Sheehan, Rob (wd:Q315855): instance of human, television actor, Irish actor, stage actor, film actor, actor
4. Roberts International Airport, also known as GLRB, Roberts Field, Robertsfield, ROB (wd:Q721497): commercial airport near Monrovia, Liberia, instance of commercial traffic aerodrome, instance of international airport
5. R.O.B., also known as Robotic Operating Buddy, ROB (wd:Q1156500)
6. Kawasaki Ki-64, also known as Rob (wd:Q573377): Japanese World War II prototype plane, instance of aircraft
7. Rob Slotemaker, also known as Rob (wd:Q1862046): Dutch racing driver (1929–1979), racing automobile driver, Formula One driver, instance of human, rally driver, engineer
8. Rob (wd:Q278856): human settlement in Municipality of Velike Lašče, Slovenia, instance of human settlement
9. William Robinson, also known as Rob. (wd:Q4992239): Irish practical gardener and journalist (1838–1935), instance of human, horticulturist, botanist
10. Rob, also known as ¡Rob! (wd:Q2119304): American comedy television series, instance of television series

[Assistant] Now I'll search for properties of Rob Minkoff that correspond to film directing (e.g., "director") to verify the correct property.

[Tool]
Top 10 property alternatives:
1. Film.ru person ID, also known as Film.ru person identifier, Film.ru director ID, Film.ru actor identifier, Film.ru actor ID (wd:P10302 as p/wdt): identifier for people in the Russian film database on film.ru
2. LdiF person ID, also known as filmdienst.de/person ID (wd:P9662 as p/wdt): identifier for a person in the Lexicon of international films (Online Database)
3. place of birth, also known as location born, POB, location of birth, born in, born at (wd:P19 as p/wdt): most specific known birth location of a person, animal or fictional character, subproperty of location
4. date of birth, also known as year of birth, DOB, born on, birthyear, born (wd:P569 as p/wdt): date on which the subject was born, subproperty of inception
5. employer, also known as working at, working for, working place, works at, works for (wd:P108 as p/wdt): person or organization for which the subject works or worked, subproperty of affiliation
6. Open Media Database person ID, also known as OMDb person ID, OMDb person identifier, Open Media Database person identifier (wd:P5534 as p/wdt): identifier for a person in the Open Media Database
7. occupation, also known as avocation, career, craft, employ, employment (wd:P106 as p/wdt): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
8. educated at, also known as graduate of, place of education, school attended, schooled at, college attended (wd:P69 as p/wdt): educational institution attended by subject, subproperty of affiliation
9. Swedish Film Database person ID, also known as Svensk Filmdatabas person ID, Swedish Film Database person ID, svenskfilmdatabas.se/sv/item/?type=person, SFI person ID, SFDb person ID (wd:P2168 as p/wdt): identifier for a person on the Swedish Film Database (SFDb)
10. Kinopoisk person ID, also known as www.kinopoisk.ru/name/, Kinopoisk actor ID, kinopoisk.ru/name/, Kinopoisk actor identifier, Kinopoisk person identifier (wd:P2604 as p/wdt): identifier for a person in the Kinopoisk.ru database

No other items found

[Assistant] I'll run a SPARQL query that finds items with Rob Minkoff (wd:Q1151111) as director (P57), retrieves genre(s) (P136) with English labels if available, and collects the earliest publication date (P577) per film using MIN(). I will include film IRIs (identifiers) and labels per the requirements. Now I will execute the query.

[Tool]
Got 13 rows and 5 columns, showing the first 5 and last 5 rows below:
| film                                                | filmLabel                                | genreIRIs                                                           | genreLabels                                                              | earliestPubDate                     |
| --------------------------------------------------- | ---------------------------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------------ | ----------------------------------- |
| Flypaper (wd:Q636294)                               | Flypaper (en)                            | http://www.wikidata.org/entity/Q157443                              | comedy film (en)                                                         | 2011-01-01T00:00:00Z (xsd:dateTime) |
| Mr. Peabody & Sherman (wd:Q6929072)                 | Mr. Peabody & Sherman (en)               | http://www.wikidata.org/entity/Q.../www.wikidata.org/entity/Q202866 | adventure film|children's film|s...y film|family film|animated film (en) | 2014-02-07T00:00:00Z (xsd:dateTime) |
| Paws of Fury: The Legend of Hank (wd:Q21450513)     | Paws of Fury: The Legend of Hank (en)    | http://www.wikidata.org/entity/Q.../www.wikidata.org/entity/Q157443 | action comedy film|action film|a...lm|martial arts film|comedy film (en) | 2021-11-05T00:00:00Z (xsd:dateTime) |
| Roger Rabbit short films (wd:Q15046569)             | Roger Rabbit short films (en)            | http://www.wikidata.org/entity/Q.../www.wikidata.org/entity/Q202866 | short film|comedy film|animated film (en)                                | 1996-01-01T00:00:00Z (xsd:dateTime) |
| Roller Coaster Rabbit (wd:Q20004165)                | Roller Coaster Rabbit (en)               | http://www.wikidata.org/entity/Q157443                              | comedy film (en)                                                         | 1990-01-01T00:00:00Z (xsd:dateTime) |
| ...                                                 | ...                                      | ...                                                                 | ...                                                                      | ...                                 |
| Stuart Little (Collector's Edition) (wd:Q123307174) | Stuart Little (Collector's Edition) (en) |                                                                     |                                                                          | 1999-01-01T00:00:00Z (xsd:dateTime) |
| The Forbidden Kingdom (wd:Q176568)                  | The Forbidden Kingdom (en)               | http://www.wikidata.org/entity/Q...www.wikidata.org/entity/Q1033891 | time-travel film|film based on a...m|fantasy film|martial arts film (en) | 2008-01-01T00:00:00Z (xsd:dateTime) |
| The Haunted Mansion (wd:Q1212923)                   | The Haunted Mansion (en)                 | http://www.wikidata.org/entity/Q...w.wikidata.org/entity/Q116918819 | mystery film|ghost film|fantasy ... film|comedy film|Halloween film (en) | 2003-11-26T00:00:00Z (xsd:dateTime) |
| The Lion King (wd:Q36479)                           | The Lion King (en)                       | http://www.wikidata.org/entity/Q.../www.wikidata.org/entity/Q130232 | musical film|adventure film|family film|drama film (en)                  | 1994-01-01T00:00:00Z (xsd:dateTime) |
| Tummy Trouble (wd:Q22350906)                        | Tummy Trouble (en)                       | http://www.wikidata.org/entity/Q157443                              | comedy film (en)                                                         | 1989-01-01T00:00:00Z (xsd:dateTime) |

[Assistant] I'll run a refined SPARQL query that restricts results to items that are instances (P31) of film (Q11424) or subclasses of film, and then retrieve genres (P136) and the earliest publication date (P577). This will avoid non-film items like collector's editions. I'll execute the query now.

[Tool]
Got 11 rows and 5 columns, showing the first 5 and last 5 rows below:
| film                                                | filmLabel                                | genreIRIs                                                           | genreLabels                                                              | earliestPubDate                     |
| --------------------------------------------------- | ---------------------------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------------ | ----------------------------------- |
| Flypaper (wd:Q636294)                               | Flypaper (en)                            | http://www.wikidata.org/entity/Q157443                              | comedy film (en)                                                         | 2011-01-01T00:00:00Z (xsd:dateTime) |
| Mr. Peabody & Sherman (wd:Q6929072)                 | Mr. Peabody & Sherman (en)               | http://www.wikidata.org/entity/Q.../www.wikidata.org/entity/Q761469 | family film|time-travel film|ani...ture film|science fiction comedy (en) | 2014-02-07T00:00:00Z (xsd:dateTime) |
| Paws of Fury: The Legend of Hank (wd:Q21450513)     | Paws of Fury: The Legend of Hank (en)    | http://www.wikidata.org/entity/Q.../www.wikidata.org/entity/Q188473 | comedy film|family film|martial ...m|action comedy film|action film (en) | 2021-11-05T00:00:00Z (xsd:dateTime) |
| Roller Coaster Rabbit (wd:Q20004165)                | Roller Coaster Rabbit (en)               | http://www.wikidata.org/entity/Q157443                              | comedy film (en)                                                         | 1990-01-01T00:00:00Z (xsd:dateTime) |
| Stuart Little (wd:Q1048958)                         | Stuart Little (en)                       | http://www.wikidata.org/entity/Q...ww.wikidata.org/entity/Q52207399 | family film|comedy film|film based on a novel (en)                       | 1999-12-17T00:00:00Z (xsd:dateTime) |
| ...                                                 | ...                                      | ...                                                                 | ...                                                                      | ...                                 |
| Stuart Little (Collector's Edition) (wd:Q123307174) | Stuart Little (Collector's Edition) (en) |                                                                     |                                                                          | 1999-01-01T00:00:00Z (xsd:dateTime) |
| The Forbidden Kingdom (wd:Q176568)                  | The Forbidden Kingdom (en)               | http://www.wikidata.org/entity/Q...www.wikidata.org/entity/Q1033891 | time-travel film|film based on a...m|fantasy film|martial arts film (en) | 2008-01-01T00:00:00Z (xsd:dateTime) |
| The Haunted Mansion (wd:Q1212923)                   | The Haunted Mansion (en)                 | http://www.wikidata.org/entity/Q...www.wikidata.org/entity/Q1200678 | Halloween film|ghost film|fantas...'s film|comedy film|mystery film (en) | 2003-11-26T00:00:00Z (xsd:dateTime) |
| The Lion King (wd:Q36479)                           | The Lion King (en)                       | http://www.wikidata.org/entity/Q.../www.wikidata.org/entity/Q130232 | musical film|adventure film|family film|drama film (en)                  | 1994-01-01T00:00:00Z (xsd:dateTime) |
| Tummy Trouble (wd:Q22350906)                        | Tummy Trouble (en)                       | http://www.wikidata.org/entity/Q157443                              | comedy film (en)                                                         | 1989-01-01T00:00:00Z (xsd:dateTime) |

[Assistant] I'll inspect the P31 (instance of) statements for the unexpected item Stuart Little (Collector's Edition) wd:Q123307174 to see why it was included. I'll list triples with that subject.

[Tool]
Got 18 rows and 3 columns, showing the first 10 rows below:
| subject                                             | property                     | object                                   |
| --------------------------------------------------- | ---------------------------- | ---------------------------------------- |
| Stuart Little (Collector's Edition) (wd:Q123307174) | instance of (wdt:P31)        | film (wd:Q11424)                         |
| Stuart Little (Collector's Edition) (wd:Q123307174) | publication date (wdt:P577)  | 1999-01-01T00:00:00Z (xsd:dateTime)      |
| Stuart Little (Collector's Edition) (wd:Q123307174) | country of origin (wdt:P495) | United States (wd:Q30)                   |
| Stuart Little (Collector's Edition) (wd:Q123307174) | director (wdt:P57)           | Rob Minkoff (wd:Q1151111)                |
| Stuart Little (Collector's Edition) (wd:Q123307174) | ACMI ID (wdt:P7003)          | works/94083                              |
| Stuart Little (Collector's Edition) (wd:Q123307174) | wdt:P31279                   | film (wd:Q11424)                         |
| Stuart Little (Collector's Edition) (wd:Q123307174) | schema:description           | 1999 film by Rob Minkoff (en)            |
| Stuart Little (Collector's Edition) (wd:Q123307174) | schema:name                  | Stuart Little (Collector's Edition) (en) |
| Stuart Little (Collector's Edition) (wd:Q123307174) | rdf:type                     | wikibase:Item                            |
| Stuart Little (Collector's Edition) (wd:Q123307174) | rdfs:label                   | Stuart Little (Collector's Edition) (en) |
| ...                                                 | ...                          | ...                                      |

[Assistant]
Stuart Little (Collector's Edition) appears to be an item with P31 film, which may duplicate Stuart Little. I should filter duplicates by excluding items whose label contains \"Collector's Edition\" or that are editions. Better approach: require that films have a main subject property or exclude items with 'edition' or 'collector' in the label. But rule 2 forbids making up identifiers; filtering by regex on label is fine.

I'll rerun the query restricting labels and excluding ones containing \"Collector\" or \"Edition\" or \"soundtrack\" etc. Also ensure to include all films directed by him and only instances of film (P31 film or subclass). I'll execute refined query.

[Tool]
Got 10 rows and 4 columns:
| film                                            | filmLabel                             | genres                                                                   | earliestPubDate                     |
| ----------------------------------------------- | ------------------------------------- | ------------------------------------------------------------------------ | ----------------------------------- |
| Flypaper (wd:Q636294)                           | Flypaper (en)                         | comedy film (en)                                                         | 2011-01-01T00:00:00Z (xsd:dateTime) |
| Mr. Peabody & Sherman (wd:Q6929072)             | Mr. Peabody & Sherman (en)            | family film, time-travel film, a...ure film, science fiction comedy (en) | 2014-02-07T00:00:00Z (xsd:dateTime) |
| Paws of Fury: The Legend of Hank (wd:Q21450513) | Paws of Fury: The Legend of Hank (en) | family film, comedy film, martia... action comedy film, action film (en) | 2021-11-05T00:00:00Z (xsd:dateTime) |
| Roller Coaster Rabbit (wd:Q20004165)            | Roller Coaster Rabbit (en)            | comedy film (en)                                                         | 1990-01-01T00:00:00Z (xsd:dateTime) |
| Stuart Little (wd:Q1048958)                     | Stuart Little (en)                    | family film, comedy film, film based on a novel (en)                     | 1999-12-17T00:00:00Z (xsd:dateTime) |
| Stuart Little 2 (wd:Q1070554)                   | Stuart Little 2 (en)                  | comedy film, film based on literature, family film (en)                  | 2002-07-19T00:00:00Z (xsd:dateTime) |
| The Forbidden Kingdom (wd:Q176568)              | The Forbidden Kingdom (en)            | fantasy film, film based on a no...e-travel film, martial arts film (en) | 2008-01-01T00:00:00Z (xsd:dateTime) |
| The Haunted Mansion (wd:Q1212923)               | The Haunted Mansion (en)              | Halloween film, ghost film, fant... film, comedy film, mystery film (en) | 2003-11-26T00:00:00Z (xsd:dateTime) |
| The Lion King (wd:Q36479)                       | The Lion King (en)                    | musical film, adventure film, family film, drama film (en)               | 1994-01-01T00:00:00Z (xsd:dateTime) |
| Tummy Trouble (wd:Q22350906)                    | Tummy Trouble (en)                    | comedy film (en)                                                         | 1989-01-01T00:00:00Z (xsd:dateTime) |

[Tool]
Got 10 rows and 4 columns:
| film                                            | filmLabel                             | genres                                                                   | earliestPubDate                     |
| ----------------------------------------------- | ------------------------------------- | ------------------------------------------------------------------------ | ----------------------------------- |
| Flypaper (wd:Q636294)                           | Flypaper (en)                         | comedy film (en)                                                         | 2011-01-01T00:00:00Z (xsd:dateTime) |
| Mr. Peabody & Sherman (wd:Q6929072)             | Mr. Peabody & Sherman (en)            | family film, time-travel film, a...ure film, science fiction comedy (en) | 2014-02-07T00:00:00Z (xsd:dateTime) |
| Paws of Fury: The Legend of Hank (wd:Q21450513) | Paws of Fury: The Legend of Hank (en) | family film, comedy film, martia... action comedy film, action film (en) | 2021-11-05T00:00:00Z (xsd:dateTime) |
| Roller Coaster Rabbit (wd:Q20004165)            | Roller Coaster Rabbit (en)            | comedy film (en)                                                         | 1990-01-01T00:00:00Z (xsd:dateTime) |
| Stuart Little (wd:Q1048958)                     | Stuart Little (en)                    | family film, comedy film, film based on a novel (en)                     | 1999-12-17T00:00:00Z (xsd:dateTime) |
| Stuart Little 2 (wd:Q1070554)                   | Stuart Little 2 (en)                  | comedy film, film based on literature, family film (en)                  | 2002-07-19T00:00:00Z (xsd:dateTime) |
| The Forbidden Kingdom (wd:Q176568)              | The Forbidden Kingdom (en)            | fantasy film, film based on a no...e-travel film, martial arts film (en) | 2008-01-01T00:00:00Z (xsd:dateTime) |
| The Haunted Mansion (wd:Q1212923)               | The Haunted Mansion (en)              | Halloween film, ghost film, fant... film, comedy film, mystery film (en) | 2003-11-26T00:00:00Z (xsd:dateTime) |
| The Lion King (wd:Q36479)                       | The Lion King (en)                    | musical film, adventure film, family film, drama film (en)               | 1994-01-01T00:00:00Z (xsd:dateTime) |
| Tummy Trouble (wd:Q22350906)                    | Tummy Trouble (en)                    | comedy film (en)                                                         | 1989-01-01T00:00:00Z (xsd:dateTime) |

[Assistant] I'll run a final SPARQL query (similar to the last one) to make sure I capture complete genre labels for each film and the earliest publication date. Then I'll return the query and a list of the films (IRIs), their English labels, genres (if any), and earliest publication dates.

[Tool]
Got 10 rows and 4 columns:
| film                                            | filmLabel                             | genres                                                                   | earliestPubDate                     |
| ----------------------------------------------- | ------------------------------------- | ------------------------------------------------------------------------ | ----------------------------------- |
| Flypaper (wd:Q636294)                           | Flypaper (en)                         | comedy film (en)                                                         | 2011-01-01T00:00:00Z (xsd:dateTime) |
| Mr. Peabody & Sherman (wd:Q6929072)             | Mr. Peabody & Sherman (en)            | family film, time-travel film, a...ure film, science fiction comedy (en) | 2014-02-07T00:00:00Z (xsd:dateTime) |
| Paws of Fury: The Legend of Hank (wd:Q21450513) | Paws of Fury: The Legend of Hank (en) | family film, comedy film, martia... action comedy film, action film (en) | 2021-11-05T00:00:00Z (xsd:dateTime) |
| Roller Coaster Rabbit (wd:Q20004165)            | Roller Coaster Rabbit (en)            | comedy film (en)                                                         | 1990-01-01T00:00:00Z (xsd:dateTime) |
| Stuart Little (wd:Q1048958)                     | Stuart Little (en)                    | family film, comedy film, film based on a novel (en)                     | 1999-12-17T00:00:00Z (xsd:dateTime) |
| Stuart Little 2 (wd:Q1070554)                   | Stuart Little 2 (en)                  | comedy film, film based on literature, family film (en)                  | 2002-07-19T00:00:00Z (xsd:dateTime) |
| The Forbidden Kingdom (wd:Q176568)              | The Forbidden Kingdom (en)            | fantasy film, film based on a no...e-travel film, martial arts film (en) | 2008-01-01T00:00:00Z (xsd:dateTime) |
| The Haunted Mansion (wd:Q1212923)               | The Haunted Mansion (en)              | Halloween film, ghost film, fant... film, comedy film, mystery film (en) | 2003-11-26T00:00:00Z (xsd:dateTime) |
| The Lion King (wd:Q36479)                       | The Lion King (en)                    | musical film, adventure film, family film, drama film (en)               | 1994-01-01T00:00:00Z (xsd:dateTime) |
| Tummy Trouble (wd:Q22350906)                    | Tummy Trouble (en)                    | comedy film (en)                                                         | 1989-01-01T00:00:00Z (xsd:dateTime) |

[Assistant] I will now produce the final SPARQL query and the answer list. I will explain that I filtered certain edition items by label. Then I'll return the result.

[Tool] Stopped generation process